
CATI (Computer-Assisted Telephone Interviewing) is a survey method where interviewers conduct phone-based interviews guided by software that displays questions, handles branching logic, and records responses in real time. AI CATI platforms take this further by replacing the human interviewer entirely — an AI conducts, adapts, and transcribes the interview automatically, enabling voice-based research at scale without call centre overhead. In 2026, leading AI CATI and telephone research platforms include Usercall, IdSurvey, Voxco, Nebu, and SurveySystem.
With online surveys, in-product analytics, and passive data everywhere, it’s fair to ask why Computer-Assisted Telephone Interviewing (CATI) still exists.
The answer is simple: voice still delivers depth and control that other methods can’t.
In 2026, CATI remains critical for:
What has changed is how CATI is executed. AI has fundamentally altered the cost, speed, and scalability of phone-based research. Traditional CATI platforms still matter, but they now compete with AI-moderated voice systems that remove many historical bottlenecks.
CATI hasn’t disappeared—but many teams are quietly replacing it with AI-moderated voice tools for speed, cost, and scale.
CATI (Computer-Assisted Telephone Interviewing) software enables structured phone interviews while ensuring consistency and data quality. At its core, CATI software helps researchers:
Historically, CATI required live interviewers, call centers, and scheduling overhead. In 2026, that model is being augmented and, in some cases, replaced by AI.
AI has introduced a new hybrid category: AI-moderated voice interviewing.
Instead of relying on human interviewers for every call, AI can now:
This doesn’t eliminate traditional CATI. It changes when and why teams use it.
Researcher POV:
When we needed voice insights fast during a prototype test, Usercall let us collect 40 interviews across 3 countries in one day—no scheduling, just instant AI conversations with rich qualitative output. That would’ve taken us 2–3 weeks via traditional CATI.
IdSurvey remains one of the most robust CATI systems for enterprise-grade teams. It offers flexibility for multi-channel projects, making it a great choice if you're managing dozens of interviewers and multiple languages.
Voxco excels when you need tight control over sampling and compliance, and still want to run multi-mode projects in a single ecosystem.
Nebu shines in managing interviewer performance and survey logic complexity. The tool feels tailored to high-volume, insights-focused teams that want granular control.
SurveySystem has been around for decades—and while it may not be flashy, it gets the job done. If you need a solid CATI system without a huge learning curve, this is a practical option.
CATI hasn’t disappeared. It’s splitting into two paths:
Traditional CATI still fits when
AI-moderated CATI-style voice fits when
Most advanced teams now blend both.
CATI in 2026 isn’t about phone calls versus surveys. It’s about voice as a research medium.
Traditional CATI platforms remain essential for certain use cases. But AI-first tools like UserCall are redefining what’s possible, removing the slowest and most expensive parts of phone research while preserving depth.
The smartest research teams aren’t asking, “Should we still do CATI?”
They’re asking, “Where does voice give us the most leverage?”
CATI is just one piece of a modern research stack. If you're evaluating where phone interviewing fits alongside other methods and tools, the full breakdown in the 15 best market research tools in 2026 guide covers how leading teams combine CATI, AI interviewing, and survey software to get complete coverage. If AI-assisted phone interviews are on your radar, Usercall lets you run them at scale without the overhead of traditional CATI setups.
Related: what is a CATI survey and how it works · CAWI software explained · AI market research tools worth knowing
CATI software guides interviewers through scripted logic and branching, captures responses in real time, manages samples and quotas, monitors interviewer performance, and exports analysis-ready datasets. In 2026, it remains critical for B2B research, political polling, healthcare studies, and reaching low-digital-access populations where voice delivers depth other methods cannot.
Top CATI software options in 2026 include Usercall for AI-moderated voice interviewing, IdSurvey for enterprise-grade multi-mode surveys, and Voxco for omnichannel survey orchestration with predictive dialing. The best choice depends on whether you need traditional live-interviewer CATI or scalable AI-moderated voice interviews without scheduling overhead.
Traditional CATI software requires live interviewers, call centers, and scheduling overhead. AI voice interviewing tools like Usercall conduct asynchronous phone-style interviews, ask adaptive follow-up questions automatically, and scale from 10 to 1,000 or more interviews without hiring staff, delivering transcripts and thematic analysis instantly.
AI can replace CATI for many use cases like consumer research, concept testing, CX, and product discovery, where Usercall enabled 40 interviews across three countries in one day versus two to three weeks via traditional CATI. However, regulated, sensitive, or compliance-heavy studies still typically favor live human-interviewer CATI platforms.
Traditional CATI software requires live interviewers, call center infrastructure, and significant scheduling coordination, making it slow and expensive to scale. These bottlenecks limit speed and geographic reach. In 2026, AI-moderated voice tools are increasingly replacing CATI for studies where compliance requirements do not mandate a live human interviewer.
IdSurvey is widely regarded as one of the most robust CATI platforms for political polling and large-scale research. It supports mixed-mode surveys combining CATI, CAWI, and CAPI, offers quota management and interviewer productivity tracking, and handles multiple languages, making it well-suited for enterprise teams managing dozens of interviewers.
Yes, CATI software remains a preferred method for B2B, enterprise, healthcare, and regulated industry research in 2026. These sectors require the depth, control, and compliance that voice interviewing provides. AI-moderated voice tools are emerging alternatives, but sensitive or heavily regulated studies still commonly rely on traditional live-interviewer CATI platforms.
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